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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach
  for Cooperative Traffic Light Control
v1v2v3 (latest)

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

28 August 2019
Yanan Wang
Tong Xu
Xin Niu
Chang Tan
Enhong Chen
Hui Xiong
ArXiv (abs)PDFHTML

Papers citing "STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control"

5 / 5 papers shown
Model-based graph reinforcement learning for inductive traffic signal
  control
Model-based graph reinforcement learning for inductive traffic signal controlIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2022
François-Xavier Devailly
Denis Larocque
Laurent Charlin
156
12
0
01 Aug 2022
Area-wide traffic signal control based on a deep graph Q-Network (DGQN)
  trained in an asynchronous manner
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
Gyeongjun Kim
Keemin Sohn
GNN
97
12
0
05 Aug 2020
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic
  Signal Control
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly
Denis Larocque
Laurent Charlin
AI4CE
420
93
0
06 Mar 2020
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven CommunicationMachine-mediated learning (ML), 2020
E. Pesce
Giovanni Montana
456
27
0
12 Feb 2020
A Survey on Traffic Signal Control Methods
A Survey on Traffic Signal Control Methods
Hua Wei
Guanjie Zheng
Vikash V. Gayah
Ruoyao Xiao
239
282
0
17 Apr 2019
1
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